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논문 기본 정보

자료유형
학술대회자료
저자정보
Xiaopei Ding (Nankai University) Zhihui Gu (Nankai University) Liyuan Han (Nankai University)
저널정보
인하대학교 정석물류통상연구원 인하대학교 정석물류통상연구원 학술대회 Proceedings of the 3rd International conference on risk management &Global e-business(volume 2)
발행연도
2009.10
수록면
755 - 762 (8page)

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초록· 키워드

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Since the global financial crisis broke out, the plunge of stock prices, shrinkage of asset value, and downgrading of credit ratings for companies bonds, have greatly challenged the long-established mathematical models based on Black-Scholes option pricing formula in Finance. Evidences show that the important assumption that the returns dynamics of the underlying stock have a continuous sample path which can be described by the stochastic process deviates from the real world situation. In this paper, I took the pattern of stock price movement as a process driven by the combination of the geometric Brownian motion and Poisson Process, and study the important factors affecting the default probability of corporate debt using MATLAB to do numerical simulation. It is found that: (a) in the occurrence of the “rare event” the adoption of the model only based on pure geometric Brownian motion will lead to underestimation of bankruptcy risk. (b) the degree of asset value shrinkage following each “negative jump” is positively correlated with the default risk of corporate debt, and this default probability is a convex function of the corresponding jumping probability per unit time. (c) the marginal default probability is a non-negative random variable that varies as the times of asset “jumps” before the maturity of the corporate debt are different. Moreover, it will reach the maximum value when jumping probability and the degree of asset value shrinkage both approach to 100%. (d) when the degree of asset value shrinkage maintains unchanged, the greater the initial leverage ratio d, the higher default risk the company will face. Consequently, the agency problem between shareholders and creditors is likely to take place.

목차

Abstract
1. INTRODUCTION
2. THEORY MODEL
3. NUMERICAL SIMULATION ANALYSIS
4. CONCLUSION AND PROSPECT
ACKNOWLEDGEMENT
REFERENCES

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